Upgrading eigenspace-based prediction using null space and its application to path prediction
Proceedings of Subspace 2007
Page 17-23
published_at 2007-11
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| File | |
| Title ( eng ) |
Upgrading eigenspace-based prediction using null space and its application to path prediction
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| Creator |
Shonomura Yuji
Amano Toshiyuki
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| Source Title |
Proceedings of Subspace 2007
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| Start Page | 17 |
| End Page | 23 |
| Abstract |
This paper proposes a method for an Eigenspace-based prediction of a vector with missing components by modifying a projection of conventional Eigenspace method, and demonstrates the application to the prediction of the path of a walking person. This modification is based on domain-specific knowledge of data, and a linear combination of vectors in the null space of Eigenspace is added so that a cost function of smoothness of path is minimized. Some experimental results on actual paths are shown to demonstrate how the proposed method works.
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| NDC |
Electrical engineering [ 540 ]
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| Language |
eng
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| Resource Type | conference paper |
| Publisher |
Asian Conference on Computer Vision
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| Date of Issued | 2007-11 |
| Rights |
Copyright (c) 2007 by Author
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| Publish Type | Version of Record |
| Access Rights | open access |
| Source Identifier |
[URI] http://ir.lib.hiroshima-u.ac.jp/00020422
|
